Full-Stack Software Engineer, Reinforcement Learning

About HUD

HUD 's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.

About the role

We’re looking for a Full-Stack Software Engineer, Reinforcement Learning to build the product surfaces, backend systems, and internal tools that power HUD’s RL data engine.

You’ll own product surfaces end-to-end, including backend services, APIs, databases, dashboards, tools, vendor workflows, data collection, and observability for RL rollouts. You don’t need to be a researcher, but you need to work research engineers and vendors to translate ambiguous needs into polished products that enable our RL systems.

Responsibilities

Develop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, debugging failures, and understanding model behavior

Build vendor-facing workflows that make it easy for external partners to create, submit, test, and iterate on RL environments and training data

Create dashboards and observability tools that surface environment quality, eval results, data collection progress, grader issues, reward signal problems, and pipeline health

Design backend services and APIs that connect task authoring, data collection, evaluation, QA/QC, and RL training infrastructure

Partner closely with research, operations, and GTM teams to turn vague, high-stakes requests into well-designed systems that ship quickly

Experience

You may be a good fit if you have:

Strong software engineering fundamentals and real full-stack range, including proficiency in Python and a modern web stack such as React, TypeScript, Next.js, or similar

Experience owning user-facing or internal products end-to-end

Good product taste and the ability to build tools that are intuitive for both technical and non-technical users

Comfort with cloud infrastructure, Docker, CI/CD, observability, and production debugging

High agency—you identify what needs to exist, build it, and improve it without waiting for a perfect spec

Strong communication skills for working across research, engineering, operations, vendors, and founders

Strong candidates may also have:

Experience building data collection, labeling, annotation, eval, or research tooling platforms

Experience building dashboards, review workflows, observability tools, or debugging interfaces for complex systems

Experience building developer tools, infrastructure products, internal platforms, or workflow products that made a team dramatically faster

Experience with AWS, Kubernetes, Terraform, Docker, Grafana, or similar infrastructure tools as tools to ship product, not as the center of the role

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

Team & company details

Team Size : ~25 people currently, mostly full-time in-person, but some remote.

Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.

Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics

Employment : Full-time.

Location : We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.

Visa Sponsorship : We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

Timeline : Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

What we offer

Competitive compensation

100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)

Lunch and dinner for in-office employees

Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

Other perks including an Equinox membership, 401k, and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)

Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. * By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place

Annual travel budget to visit either office

Compensation

Actual offers are adjusted for experience and location, but our base salary bands are

San Francisco (and other major US cities): $130,000 - $225,000

Singapore: $100,000 - $170,000

Rest of world: $100,000 - $170,000

Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!